NCAAF Public Betting & Money Percentages
Scheduled | Open | Best Odds | % of Bets | % of Money | Diff | Bets | |||
---|---|---|---|---|---|---|---|---|---|
FREEMoney Percentages | |||||||||
11:30 PM ![]() Tulsa TLSA 313 ![]() E. Carolina ECU 314 | +17.5 -17.5 | +16.5-104 -17.5-105 | +2% | 5,094 | |||||
11:00 PM ![]() Louisville LOU 315 ![]() Miami (FL) MIA 316 | +6.5 -6.5 | +13.5-105 -13.5-110 | |||||||
12:00 AM ![]() Nebraska NEB 317 ![]() Minnesota MINN 318 | -5.5 +5.5 | -7.5-110 +7.5-102 | |||||||
+3.5 -3.5 | +3.5-110 -3.5+100 | ||||||||
2:30 AM ![]() UNC UNC 321 ![]() California CAL 322 | +10.5 -10.5 | +9.5+102 -10-105 | |||||||
4:00 PM ![]() GA Tech GT 349 ![]() Duke DUKE 350 | -1.5 +1.5 | +1.5-110 -1.5-110 | |||||||
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+5.5 -5.5 | +4.5-110 -4.5-105 | +10% | 6,098 | ||||||
4:00 PM ![]() UConn UCONN 345 ![]() Boston Col BC 346 | +2.5 -2.5 | +1.5-102 -1.5-110 | |||||||
4:00 PM ![]() Baylor BAY 385 ![]() TCU TCU 386 | +2.5 -2.5 | +2.5+100 -3-105 | |||||||
4:00 PM ![]() Army ARMY 389 ![]() Tulane TULN 390 | +12.5 -12.5 | +9.5-105 -10-105 | |||||||
+11.5 -11.5 | +13.5-110 -13.5-105 | ||||||||
4:00 PM ![]() Washington WASH 375 ![]() Michigan MICH 376 | +10.5 -10.5 | +6-108 -5.5-115 | |||||||
4:00 PM ![]() Arizona ARI 383 ![]() Houston HOU 384 | +1.5 -1.5 | PK-110 +1.5-115 | |||||||
4:00 PM ![]() LSU LSU 365 ![]() Vanderbilt VAN 366 | -3.5 +3.5 | +2.5-105 -2.5-108 | |||||||
4:45 PM ![]() Oklahoma OU 341 ![]() S. Carolina SC 342 | -4.5 +4.5 | -5.5-110 +5.5-109 | |||||||
5:00 PM ![]() West Virginia WVU 327 ![]() UCF UCF 328 | +11.5 -11.5 | +7.5-110 -7.5+100 | |||||||
6:00 PM ![]() Kent State KENT 343 ![]() Toledo TOL 344 | +22.5 -22.5 | +26.5-110 -26.5-110 | |||||||
6:30 PM ![]() Buffalo BUFF 323 ![]() UMass MASS 324 | -17 +17 | -16.5-110 +16.5-105 | |||||||
7:00 PM ![]() Troy TROY 355 ![]() LA-Monroe ULM 356 | -5.5 +5.5 | -6-108 +6-110 | |||||||
7:00 PM ![]() Purdue PUR 363 ![]() Northwestern NW 364 | +6.5 -6.5 | +3-102 -3-113 | |||||||
7:30 PM ![]() Texas A&M TA&M 393 ![]() Arkansas ARK 394 | -7.5 +7.5 | -7.5-105 +8-110 | |||||||
7:30 PM ![]() Akron AKR 359 ![]() Ball State BALL 360 | +1.5 -1.5 | +1-109 -1-105 | |||||||
7:30 PM ![]() SMU SMU 347 ![]() Clemson CLEM 348 | +11.5 -11.5 | +9.5-108 -8.5-112 | |||||||
7:30 PM ![]() Ohio State OSU 399 ![]() Wisconsin WIS 400 | -26.5 +26.5 | -25.5-105 +25.5-105 | |||||||
7:30 PM ![]() Wyoming WYO 405 ![]() Air Force AFA 406 | +6 -6 | +4.5-110 -4-110 | |||||||
7:30 PM ![]() Ole Miss MISS 391 ![]() Georgia UGA 392 | +10.5 -10.5 | +7.5-110 -7.5+100 | |||||||
7:30 PM ![]() Temple TEM 337 ![]() Charlotte CHA 338 | -12.5 +12.5 | -11.5-108 +11.5-110 | |||||||
7:30 PM ![]() Texas St TXST 353 ![]() Marshall MRSH 354 | -5.5 +5.5 | -3+100 +2.5+100 | |||||||
7:30 PM ![]() Coastal Car CC 325 ![]() App State APP 326 | +9.5 -9.5 | +10-109 -10.5-105 | |||||||
7:30 PM ![]() Michigan St MSU 351 ![]() Indiana IU 352 | +24.5 -24.5 | +27.5-110 -27.5-105 | |||||||
7:30 PM ![]() UTSA UTSA 379 ![]() North Texas UNT 380 | +4.5 -4.5 | +4.5-112 -3.5-115 | |||||||
7:30 PM ![]() Old Dominion ODU 335 ![]() JMU JMU 336 | -1.5 +1.5 | +1.5-110 -1.5-105 | |||||||
7:30 PM ![]() N. Illinois NIU 333 ![]() Ohio OHIO 334 | +11.5 -11.5 | +10.5-105 -11.5-105 | |||||||
7:30 PM ![]() UNLV UNLV 369 ![]() Boise State BOISE 370 | +8.5 -8.5 | +12.5-110 -12.5-105 | |||||||
8:00 PM ![]() Texas Tech TTU 407 ![]() Arizona St ASU 408 | +4 -4 | -7.5-105 +7.5-110 | |||||||
8:00 PM ![]() Memphis MEM 403 ![]() UAB UAB 404 | -21.5 +21.5 | -21.5-110 +21.5-110 | |||||||
+10.5 -10.5 | +9.5-110 -8.5-113 | ||||||||
-2.5 +2.5 | -3.5-105 +3.5-108 | ||||||||
10:30 PM ![]() Oregon ORE 413 ![]() Rutgers RUT 414 | -16.5 +16.5 | -17.5-104 +17.5-110 | |||||||
10:30 PM ![]() Washington St WSU 411 ![]() Virginia UVA 412 | +16.5 -16.5 | +17.5-110 -17.5-105 | |||||||
11:00 PM ![]() Maryland UMD 373 ![]() UCLA UCLA 374 | +5.5 -5.5 | +3.5-114 -3.5-102 | |||||||
+6 -6 | +6.5-105 -6.5-110 | ||||||||
11:00 PM ![]() Texas TEX 409 ![]() Kentucky UK 410 | -13.5 +13.5 | -12.5-110 +12.5-105 | |||||||
11:00 PM ![]() Penn State PSU 395 ![]() Iowa IOWA 396 | -10.5 +10.5 | +2.5-105 -3-105 | |||||||
11:00 PM ![]() Hawaii HAW 367 ![]() Colorado St CSU 368 | -1.5 +1.5 | +2.5-102 -2.5-110 | |||||||
11:30 PM ![]() FL Atlantic FAU 331 ![]() S. Florida USF 332 | +20.5 -20.5 | +22-110 -21.5-108 | |||||||
11:30 PM ![]() USC USC 415 ![]() Notre Dame ND 416 | +10.5 -10.5 | +9.5-108 -9.5-105 | |||||||
11:30 PM ![]() Tennessee TENN 417 ![]() Alabama BAMA 418 | +11.5 -11.5 | +8.5-110 -8.5-105 | |||||||
11:30 PM ![]() Pittsburgh PITT 357 ![]() Syracuse SYR 358 | -11.5 +11.5 | -10.5-110 +10.5-105 | |||||||
11:45 PM ![]() Missouri MIZ 381 ![]() Auburn AUB 382 | +1.5 -1.5 | -1.5-110 +2-110 | |||||||
12:00 AM ![]() Utah UTAH 401 ![]() BYU BYU 402 | +2.5 -2.5 | -3.5-104 +3.5-109 | |||||||
12:00 AM ![]() Cincinnati CIN 397 ![]() OK State OKST 398 | -21.5 +21.5 | -21.5-110 +21.5-105 | |||||||
1:45 AM ![]() Nevada NEV 371 ![]() New Mexico UNM 372 | +10.5 -10.5 | +11.5-105 -11.5-110 | |||||||
2:00 AM ![]() Lafayette LAF ![]() Oregon St ORST | +20.5 -20.5 | +22.5-110 -22.5-110 | |||||||
2:30 AM ![]() Florida St FSU 419 ![]() Stanford STAN 420 | -14.5 +14.5 | -18-105 +17.5-102 | |||||||
4TH 2:00 ![]() UTEP UTEP 309 ![]() Sam Houston SHSU 310 | +6.5 -6.5 | -3-114 +3.5-112 | |||||||
4TH 5:30 ![]() Delaware DEL 307 ![]() Jax State JVST 308 | -3.5 +3.5 | -3-110 +2.5+102 | |||||||
+7.5 -7.5 | +11.5-110 -10.5-110 | ||||||||
+5.5 -5.5 | +8.5-105 -8.5-105 | ||||||||
+7.5 -7.5 | +10-108 -10.5-102 |
College football is one of the most bet-on sports in the United States, with billions wagered every season. As more states legalize sports betting and more bettors go online, NCAAF public betting continues to grow in popularity. Understanding how the public is wagering can help you identify potential edges and make smarter bets.
In this guide, we’ll break down public betting data, explain the difference between percentage of bets and percentage of money, and show how to use these insights to your advantage.
What is NCAAF Public Betting?
Public betting refers to the wagers placed by the general betting population on college football games. Tracking public betting trends helps you see which teams or sides most bettors favor. However, the public isn’t always right, which is why professional bettors, also known as “sharps,” often take the opposite side.
By combining public betting data with money percentages and total bet volume, you can get a clearer picture of where the smart money is going.
Tips for Interpreting NCAAF Public Betting
- Look for games where the delta between bet and money percentages is large — these often indicate professional interest.
- Avoid overvaluing data from games with small sample sizes of tracked bets.
- Use public betting data alongside other tools, such as line movement, team stats, and matchup analysis, to make informed decisions.
How to Use Public Betting and Money Percentages in College Football Betting
We house betting data from numerous U.S. online sportsbooks, including "percentage of bets" and "percentage of money" on every college football game and major bet type.
- Percentage (%) of bets: The percentage of wagers on a particular side of a game. For example, if Tennessee vs. Vanderbilt had 20,000 total bets that we've tracked and 12,000 of those are on the Vols, we'd say that Tennessee has received 60% of the bets.
- Percentage (%) of money: This is the same thing except for the money. If we know the total handle, we can then calculate the percentage of money on one side or another of a bet.
Combining those two factors can help college football bettors eye bets that might be worth making. The reason is because not all bets are the same amount of money. Some bettors might place just $10 on a game, while professional bettors -- sometimes called "sharps" -- might wager $10,000.
Thus, the difference between the percentage of money and the percentage of bets can often highlight the games in which pro bettors are getting down action. And, well, they're professional and bet high amounts for a reason: It could be a good bet to take those sides.
It's also important to look at the total number of bets we're tracking, which you can see on the far right of the table above. The reason is that you don't want to put too much stock in a money vs. bet difference that has a small sample of bets. Utilizing all four factors -- bet percentage, money percentage, bet vs. money percentage (the delta), and total bets -- is recommended when using betting data to gain an advantage.
Why the Difference Matters
The difference between the percentage of bets and the percentage of money — sometimes called the “delta” — can highlight games where professional bettors are placing high-stakes wagers.
- Scenario: 60% of bets on Tennessee but 80% of the money on them suggests sharp action favoring Tennessee.
- Sharps bet large amounts for a reason: it could indicate a more favorable line or value that casual bettors might overlook.